Print an object of class pcsslm
Prints a linear model fit through pre-computed summary statistics
## S3 method for class 'pcsslm'
print(
x,
digits = max(3L, getOption("digits") - 3L),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"),
...
)x |
an object of class |
digits |
the number of significant digits to use when printing. |
symbolic.cor |
logical. If |
signif.stars |
logical. If |
... |
further arguments passed to or from other methods. |
an object of class "pcsslm".
An object of class "pcsslm" is a list containing at least the
following components:
call |
the matched call |
terms |
the |
coefficients |
a p x 4 matrix with columns for the estimated coefficient, its standard error, t-statistic and corresponding (two-sided) p-value. |
sigma |
the square root of the estimated variance of the random error. |
df |
degrees of freedom, a 3-vector p, n-p, p*, the first being the number of non-aliased coefficients, the last being the total number of coefficients. |
fstatistic |
a 3-vector with the value of the F-statistic with its numerator and denominator degrees of freedom. |
r.squared |
R^2, the 'fraction of variance explained by the model'. |
adj.r.squared |
the above R^2 statistic 'adjusted', penalizing for higher p. |
cov.unscaled |
a p x p matrix of (unscaled) covariances of the coef[j], j=1,...p. |
Sum Sq |
a 3-vector with the model's Sum of Squares Regression (SSR), Sum of Squares Error (SSE), and Sum of Squares Total (SST). |
R Core Team and contributors worldwide. Modified by Jack Wolf
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